Building Real-Time AI Systems with Kafka and FastAPI
Event flow, delivery semantics and the boundary between model inference and an application API.
Planned · AI SystemsWRITING / FIELD NOTES
Engineering Notes.
Thinking in public about the systems behind the models. Architecture, trade-offs and lessons from building software that has to work.
Good notes take work.
No articles published just yet. I’m developing a collection on the practical side of AI systems engineering — the decisions, constraints and details that deserve more than a quick post.
ON THE WRITING DESK / PLANNED TOPICS
What Production RAG Actually Requires
Retrieval quality, access control, citation support and evaluation beyond a working prototype.
Planned · LLM SystemsDesigning Explainable AI for Financial Systems
Connecting interpretable predictions with versioned data, review workflows and decision provenance.
Planned · Machine LearningFrom Prototype to Production: MLOps Lessons
Reproducible model artifacts, promotion gates, observability and reliable rollback.
Planned · MLOpsAI for Low-Resource African Languages
A planned exploration of data constraints, evaluation and practical language technology.
Planned · Applied AISTART A CONVERSATION
Let’s build
intelligent systems.
I’m interested in engineering opportunities and collaborations involving production AI, data platforms, backend systems and applied machine learning.